Publications

A full list can also be found on Google Scholar.

2024

  1. 202404_cam.png
    Advancing Normalising Flows to Model Boltzmann Distributions
    Vincent Stimper
    PhD Thesis at the University of Cambridge, Apr 2024
    PDF

2023

  1. 202312_eacf.png
    SE(3) Equivariant Augmented Coupling Flows
    Laurence I. Midgley*, Vincent Stimper*, Javier Antorán*, and 3 more authors
    Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Dec 2023
    *equal contribution
    PDF
  2. 202305_fab.png
    Flow Annealed Importance Sampling Bootstrap
    L. I. Midgley*, V. Stimper*, G. N. C. Simm, and 2 more authors
    Proceedings of the Eleventh International Conference on Learning Representations (ICLR), May 2023
    *equal contribution
    PDF
  3. 202301_band.png
    A machine learning route between band mapping and band structure
    R. P. Xian*, V. Stimper*, M. Zacharias, and 9 more authors
    Nature Computational Science, Jan 2023
    *equal contribution
    HTML PDF
  4. 202303_normflow.png
    normflows: A PyTorch Package for Normalizing Flows
    Vincent Stimper, David Liu, Andrew Campbell, and 4 more authors
    Journal of Open Source Software, Jan 2023
    HTML

2022

  1. 202212_tst.png
    AutoML Two-Sample Test
    J. M. Kübler, V. Stimper, S. Buchholz, and 2 more authors
    Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Dec 2022
    HTML PDF
  2. 202208_ima.png
    Probing the Robustness of Independent Mechanism Analysis for Representation Learning
    J. Sliwa, S. Ghosh, V. Stimper, and 2 more authors
    First Workshop on Causal Representation Learning at the 38th Conference on Uncertainty in Artificial Intelligence, Aug 2022
    HTML PDF
  3. 202203_rbd.png
    Resampling Base Distributions of Normalizing Flows
    V. Stimper, B. Schölkopf, and J. M. Hernández-Lobato
    Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), Mar 2022
    HTML PDF

2021

  1. 202112_byf.png
    Bootstrap Your Flow
    L. I. Midgley, V. Stimper, G. N. C. Simm, and 1 more author
    1st ELLIS Machine Learning for Molecule Discovery Workshop, Dec 2021
    HTML PDF
  2. 202112_ima.png
    Independent mechanisms analysis, a new concept?
    L. Gresele*, J. Kügelgen*, V. Stimper, and 2 more authors
    Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Dec 2021
    *equal contribution
    PDF
  3. 202107_hmc.png
    A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
    A. Campbell*, W. Chen*, V. Stimper*, and 2 more authors
    Proceedings of 38th International Conference on Machine Learning (ICML), Jul 2021
    *equal contribution
    HTML PDF

2019

  1. 201911_mclahe.png
    Multidimensional Contrast Limited Adaptive Histogram Equalization
    V. Stimper, S. Bauer, R. Ernstorfer, and 2 more authors
    IEEE Access, Jul 2019
    HTML PDF

2018

  1. 201811_surv.png
    Pathway-based subnetworks enable cross-disease biomarker discovery
    S. Haider, C. Yao, V. Sabine, and 22 more authors
    Nature Communications, Jul 2018
    Article number: 4746
    HTML PDF

2016

  1. 201604_dp.png
    Zwischen Harmonie und Chaos - ein verallgemeinertes Modell des Doppelpendels
    Vincent Stimper
    Junge Wissenschaft, Jul 2016
    PDF